Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.6 * weight - 17
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Okubamariam
4
60 kgSolomon
8
66 kgMusie
10
59 kgGalarreta
22
77 kgGhebreindrias
28
68 kgHalilaj
30
70 kgJulius
33
59 kg
4
60 kgSolomon
8
66 kgMusie
10
59 kgGalarreta
22
77 kgGhebreindrias
28
68 kgHalilaj
30
70 kgJulius
33
59 kg
Weight (KG) →
Result →
77
59
4
33
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | OKUBAMARIAM Tesfom | 60 |
| 8 | SOLOMON Zemenfes | 66 |
| 10 | MUSIE Saymon | 59 |
| 22 | GALARRETA David | 77 |
| 28 | GHEBREINDRIAS Amanuel Mengis | 68 |
| 30 | HALILAJ Redi | 70 |
| 33 | JULIUS Jayde | 59 |